Statistical Optimization of Biological Systems 1st Edition PDF ebook

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Buy Statistical Optimization of Biological Systems 1st Edition PDF ebook by author Tapobrata Panda; Thomas Theodore; R. Arun Kumar published by CRC Press in 2016 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
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eBook Details:

Full title: Statistical Optimization of Biological Systems 1st Edition
Edition: 1st
Copyright year: 2016
Publisher: CRC Press
Author: Tapobrata Panda; Thomas Theodore; R. Arun Kumar
ISBN: 9780429168758, 9783319737706
Format: PDF

Description of Statistical Optimization of Biological Systems 1st Edition:
This book addresses the most important aspects of how to plan and evaluate clinical trials with a composite primary endpoint to guarantee a clinically meaningful and valid interpretation of the results. Composite endpoints are often used as primary efficacy variables for clinical trials, particularly in the fields of oncology and cardiology. These endpoints combine several variables of interest within a single composite measure, and as a result, all variables that are of major clinical relevance can be considered in the primary analysis without the need to adjust for multiplicity. Moreover, composite endpoints are intended to increase the size of the expected effects thus making clinical trials more powerful. The book offers practical advice for statisticians and medical experts involved in the planning and analysis of clinical trials. For readers who are mainly interested in the application of the methods, all the approaches are illustrated with real-world clinical trial examples, and the software codes required for fast and easy implementation are provided. The book also discusses all the methods in the context of relevant guidelines related to the topic. To benefit most from the book, readers should be familiar with the principles of clinical trials and basic statistical methods.

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